Browse
Search
Agenda - 08-10-95 - 3 (No abstract sheet available)
OrangeCountyNC
>
Board of County Commissioners
>
BOCC Agendas
>
1990's
>
1995
>
Agenda - 08-10-95
>
Agenda - 08-10-95 - 3 (No abstract sheet available)
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
12/18/2014 8:17:18 AM
Creation date
12/18/2014 8:16:43 AM
Metadata
Fields
Template:
BOCC
Date
8/10/1995
Meeting Type
Work Session
Document Type
Agenda
Agenda Item
3
Document Relationships
Minutes - 19950810
(Linked From)
Path:
\Board of County Commissioners\Minutes - Approved\1990's\1995
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
31
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
View images
View plain text
significant differences in the average housing value for families with different numbers <br /> of public school children. <br /> • <br /> Differences in Average Replacement Value <br /> b Number of Children <br /> 0 Children 1 Child 2 Children 3+ Children <br /> (Avg = 150064 (Avg 160068 (Avg = 175088 (Avg = 166812 <br /> 0 Children 0 -- — — <br /> Av g = 150064 <br /> 1 Child Not Significant 0 — - <br /> -(Avg = 160068 <br /> 2 Children 25024 Not Significant 0 — <br /> (Avg = 175088 <br /> 3+ Children Not Significant Not Significant Not Significant 0 <br /> (Avg = 166812 <br /> Orange County School District <br /> For the Orange County School District, the Bonferroni statistical tests show no <br /> significant relationship between any of the housing characteristics and the number of public • <br /> school children in new housing units. Therefore, none of the housing characteristics analyzed- <br /> -number of bedrooms, area of the housing unit, house value, or housing type--can be used to <br /> predict the number of public school children in a housing unit. Appendix A shows graphs of <br /> the averages and the 95% confidence intervals for each of the housing characteristics. <br /> • <br /> 14 <br />
The URL can be used to link to this page
Your browser does not support the video tag.